Table 2 The average recognition rates of the networks using different distance measures on the AR database
From: Noise-resistant network: a deep-learning method for face recognition under noise
| Â | BN2 | BN1 | NR-Network |
|---|---|---|---|
Chi-square distance | 0.8079 | 0.8187 | 0.8212 |
Histogram Intersection | 0.8138 | 0.8243 | 0.8314 |
Modified G-statistics | 0.8147 | 0.8207 | 0.8224 |
Pearson Correlation Coefficient | 0.8234 | 0.8368 | 0.8514 |
Euclidean Distance | 0.8157 | 0.8350 | 0.8509 |
Cosine Distance | 0.8274 | 0.8414 | 0.8523 |